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DATAECONOMY

Senior Data Engineer - Starburst

Posted One Month Ago
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In-Office
Pune, Maharashtra, IND
Senior level
In-Office
Pune, Maharashtra, IND
Senior level
Build and optimize Starburst-based data pipelines and federated queries, integrate databases, data lakes, and warehouses, and ensure performance, reliability, and governance. Collaborate with analytics, AI/ML, and business teams to deliver scalable data platforms and solutions.
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Job Role: Senior Data Engineer – Starburst

Experience: 8+ Years

Location: Pune (Hybrid/Remote depending on project)

 

Key Skills Required:

·       Strong experience with Starburst / Trino / Presto

·       Hands-on experience in Data Engineering and Data Platforms

·       Expertise in SQL and query performance optimization

·       Experience working with Data Lakes (AWS S3 / ADLS / HDFS)

·       Good programming knowledge in Python / Java / Scala

·       Experience with ETL/ELT pipelines and distributed data processing

·       Familiarity with Big Data tools like Spark, Kafka, Iceberg, Delta Lake

·       Experience with AWS / Azure / GCP cloud platforms

 

Responsibilities:

•         Build and optimize data pipelines and federated data queries using Starburst

•         Integrate data from multiple sources (databases, data lakes, warehouses)

•         Ensure data performance, reliability, and governance

•         Work with analytics, AI/ML, and business teams to deliver scalable data solutions



Requirements

Job Role: Senior Data Engineer – Starburst

Experience: 8+ Years

Location: Pune (Hybrid/Remote depending on project)

 

Key Skills Required:

·       Strong experience with Starburst / Trino / Presto

·       Hands-on experience in Data Engineering and Data Platforms

·       Expertise in SQL and query performance optimization

·       Experience working with Data Lakes (AWS S3 / ADLS / HDFS)

·       Good programming knowledge in Python / Java / Scala

·       Experience with ETL/ELT pipelines and distributed data processing

·       Familiarity with Big Data tools like Spark, Kafka, Iceberg, Delta Lake

·       Experience with AWS / Azure / GCP cloud platforms

 

Responsibilities:

•         Build and optimize data pipelines and federated data queries using Starburst

•         Integrate data from multiple sources (databases, data lakes, warehouses)

•         Ensure data performance, reliability, and governance

•         Work with analytics, AI/ML, and business teams to deliver scalable data solutions



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